Electrical Network Optimization Based Electrically Interconnected Suspension Control for Vehicle Cabin
Publication Name
SAE Technical Papers
Abstract
In order to further improve the influence of the electrically interconnected suspension (EIS) on the ride-comfort, a four-port electrical network (EN) is established in the SIMULINK environment based on the existing EIS research and applied to the passive model of the cabin system. This model is a passive suspension model composed of the road surface excitation, the main suspension, and the cabin suspension. The electrical network of EIS is connected with the cabin suspension section so that the interconnection is completely achieved in the cabin suspension system. The simulation results indicated that the four-port EIS is able to decouple the cabin motion in the three directions of heave, pitch, and roll, and improved the ride comfort and handling stability by adjusting the parameters of the circuit components. Based on the current achievement, Road profiles of a class A according to ISO 8608 was utilized as the excitation in the modelling stage to study the ride quality of light commercial vehicles on urban traffic road. Genetic algorithm (GA) method in MATLAB is utilized to alter the optimizing targets for each speed of road excitation. Both the time-domain simulation and the frequency-weighted RMS prove that the optimized EIS system can effectively reduce the motion acceleration of the cabin. Moreover, the motion sickness dosing value of the optimized cabin suspension is reduced by 31.68%. It can be said that GA optimization has a great effect on reducing the motion sickness of passive EIS vehicles in urban traffic.
Open Access Status
This publication is not available as open access
Funding Number
DP200100149
Funding Sponsor
Australian Research Council